DCN December 2016 - Page 30

2017 predictions LOOK TO THE FUTURE NOW… As 2016 draws to a close, DCN calls on some of the industry’s leading experts to look at the big trends they expect to see in 2017. Michael Hack SVP of EMEA operations Ipswitch As we head into 2017, the adoption rate of Intelligent Systems (machines with decision making and learning capabilities) will continue to increase. With it will come a raft of new complex challenges. At the top of the list will be how to deal with busier and more difficult to monitor network infrastructures, and the added layer of complexity introduced by official and unsanctioned intelligent systems that are present on corporate networks. Intelligent Systems, however, can be part of the solution too. Indeed, research commissioned by Ipswitch shows that at the close of this year, almost nine out of 10 IT professionals have already invested in one or more intelligent systems to help them get a grip on increasingly difficult to manage corporate networks. But it’s not just officially sanctioned Intelligent Systems that will continue gaining prominence on corporate networks next year; Artificial Intelligence (AI) technology is truly pervasive and is already cropping up all over the place. As such it’s not surprising to see that, according to our research, over three quarters (78 per cent) of IT professionals are struggling right now with the challenges and threats of Intelligent Systems – not least keeping tabs on their presence and activity on corporate networks. Furthermore, over half (54 per cent) say their current analysis and visualisation capabilities will struggle to keep up with the broader march of Intelligent Systems. This situation is only likely to become more pronounced in 2017, when we really will witness ‘the rise of the machines’. Chris Spain VP of cloud solutions Cradlepoint The wide area network (WAN) as we know it is dead. Why build a private network to backhaul traffic to a data centre only to pass the majority directly to the Internet? The WAN needs to connect people, places and things to internal and external applications. For instance, mobile healthcare workers and first responders need their equipment, uniforms with cameras and vehicles to be securely connected and managed whilst they are working in the field. This is all now possible through the cloud and I believe that in 2017 we will see software defined networking truly come to the fore. It is more simple, agile and flexible, and it comes at a much lower cost than traditional WAN alternatives. Timothy Arnold Colo technology director Six Degrees Group According to the World Meteorological Organisation, global temperatures in 2016 are set to be the highest ever on record. With this in mind and as we move into 2017, I have been thinking about the energy efficiency of our own business, 30 2017 predictions LOOK TO THE FUTURE NOW… As 2016 draws to a close, DCN calls on some of the industry’s leading experts to look at the big trends they expect to see in 2017. 30 Michael Hack SVP of EMEA operations Ipswitch Chris Spain VP of cloud solutions Cradlepoint As we head into 2017, the adoption rate of Intelligent Systems (machines with decision making and learning capabilities) will continue to increase. With it will come a raft of new complex challenges. At the top of the list will be how to deal with busier and more difficult to monitor network infrastructures, and the added layer of complexity introduced by official and unsanctioned intelligent systems that are present on corporate networks. Intelligent Systems, however, can be part of the solution too. Indeed, research commissioned by Ipswitch shows that at the close of this year, almost nine out of 10 IT professionals have already invested in one or more intelligent systems to help them get a grip on increasingly difficult to manage corporate networks. But it’s not just officially sanctioned Intelligent Systems that will continue gaining prominence on corporate networks ^YX\\YXX[[[Y[H RJBXH\[H\\]H[\[XYBܛ[\[ݙ\HXK\X]8&\›\\[YH] Xܙ[\\X\ ݙ\YH]X\\ \[ HوUٙ\[ۘ[\HY[Y]B[[\[X]و[[Y[\[\¸$X\Y\[XۈZ\\[H[X]]Hۈܜܘ]H]ܚˈ\\[ܙKݙ\[ M\[ H^HZ\\[[[\\[\X[\][ۈ\X[]Y\[YHY\\]HY\X\و[[Y[\[\ˈ\œ]X][ۈ\ۛHZ[HXYH[ܙHۛ[Y[ M[HX[H[]\8&H\HقHXX[\&KHYH\XH]ܚ SH\Hۛ]\™XY HZ[H]]H]ܚX][YXH]H[HۛH\HXZܚ]B\XHH[\]HSYYۛX[KX\[[[\[[^\[\X][ۜˈ܈[[K[ؚ[HX[\Bܚ\[\\ۙ\YYZ\\]Z\Y[ [Yܛ\][Y\\[ZX\HX\[BۛXY[X[YY[^H\Hܚ[[HY[ \\[XHYHY[H[Y]H][ MH[YHٝ\BY[Y]ܚ[[HYHHܙK]\[ܙB[\KY[H[^XK[]Y\]H]X\[Y][ۘ[S[\]]\˂[[H\XH\X܂^YܙY\ܛ\Xܙ[HܛY][ܛX[ܙ[\][ۋؘ[[\\]\\[ M\H]HHY\]\ۈXܙ ]\[Z[[\H[ݙH[ MH]HY[[[˜X]H[\HYXY[Hو\ۈ\[\